Capital One: Sr. Lead Machine Learning Engineer, Shopping (Remote-Eligible)

This role is for a Senior Lead Machine Learning Engineer specializing in the shopping domain at Capital One, indicating a leadership position requiring extensive experience in machine learning and engineering. The candidate is expected to have deep expertise in designing, developing, and deploying advanced machine learning models and algorithms tailored to shopping and retail use cases. Strong proficiency in programming languages commonly used in machine learning such as Python, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn are essential. Experience with large-scale data processing technologies and cloud platforms, particularly those used in Capital One’s environment, is likely important. The role demands leadership skills to guide and mentor engineering teams, drive technical strategy, and collaborate cross-functionally to integrate ML solutions into production systems. Knowledge of best practices in model validation, performance tuning, and monitoring is critical to ensure robust and scalable ML applications. Given the seniority, the candidate should also have experience influencing product roadmaps and aligning machine learning initiatives with business goals. Strong communication skills are necessary to articulate complex technical concepts to diverse stakeholders. While specific education requirements are not detailed, a solid foundation in computer science, data science, or related fields is typically expected for this level. Overall, this position requires a blend of advanced machine learning expertise, software engineering excellence, leadership capabilities, and domain knowledge in shopping or retail analytics.